ZORLU HOLDİNG

CaptureTV
IPTV Measurement and Prediction Environment
Through User Generated Data
Görkem Çetin
<[email protected]>
Objective ICT-2009.4.3: Intelligent Information Management
a) Capturing tractable information
c) Collaboration and decision support
ZORLU HOLDING
• USD 5.5B turnover
• 36,000 employees
• VESTEL: Biggest TV
manufacturer in Europe
–Electronics
–White goods
–Textiles
–Finance
–Energy distribution
–Tourism
IPTV and beyond
• Television over IP networks
• IPTV should ideally offer complete broadcast
channels (just like the IPTV network our existing
cable TV)
• A typical IPTV service offers 200+ channels
– Movies, sports, music etc
– Interactive browsing
– Electronic programme guide
– A 100.000-subscriber IPTV system can generate
over 2 million channel change request a day
What's next?
• Media convergence brings new horizons to the
industry as we learn more from large user data sets
• New methods of advertising
• Targeted advertising
• Recommedation systems
• Service differentiation is only possible if you learn
consumers' channel switching behaviour
• IPTV device status can be remotely monitored and
potential issues can be predicted before they exist
Problem 1: Delays in switching channels
• Possible solution
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Retrieve consumer channel switching behaviour
Predict channels likely to be adjacent
Group potentially adjacent channels
Prefetch channel stream
Problem 2: Inefficiency of push advertisement
methods
• Issues with choosing the right customer at the right
time
• Possible solution
– Develop a decision tree and optimize incrementally
– Deliver the right advertisement when needed
Problem 3: Consumer inexperience
• Users undecided about a channel
• Zapping is not a solution
• Possible solution
– A decision mechanism based on Bayesian network
– Consumer's previous experience is gathered
– Consumer is provided with a list of recommendations
What can we retrieve?
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Current channel
VOD watched (w,w/o tags)
(Possibly) internet pages surfed
(Possibly) services retrieved
• Games, online services, social services
Whether in sync or re-synching
Lost, late or duplicate packets
Current, max or average bandwidth
Current, max or average jitter
Methods
• Markov methods
• Future states can be reached through a probabilistic
process instead of a deterministic one
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Bayesian networks
Statistical data analysis
Machine learning
Data mining
Data visualization
Impacts
• Impact 1: Less delays
• Impact 2: More revenues through targeted and
selective advertising
• Impact 3: Increased user experience through channel
and service recommendations
• Impact 4: More statistical data for IPTV related R&D
Partners sought
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Coordinator
1 telecom operator
1 IPTV service provider
Universities having vast experience with large data
sets, proven usability and user experience
background
• 1 SME with software development experience
QUESTIONS?
CaptureTV
IPTV Measurement and Prediction Environment
Through User Generated Data
Görkem Çetin
<[email protected]>
Objective ICT-2009.4.3: Intelligent Information Management
a) Capturing tractable information
c) Collaboration and decision support